awesome-mojo-max-mlir
github.com/coderonion/awesome-mojo-max-mlir ↗A collection of some awesome public MAX platform, Mojo programming language and Multi-Level IR Compiler Framework(MLIR) projects.
43
GitHub Stars
174
Curated Resources
27
Categories
21 hours ago
Last Refreshed
SummaryModel CompilationPerformance BenchmarkPackage and Version ManagerData Structure and AlgorithmFFI BindingsGPU ProgrammingScientific ComputationMachine LearningTest FrameworkCommand Line InterpreterParserDatabaseDate and TimeEmbedded DevelopmentFile ProcessingImage ProcessingHash FunctionHTTP FrameworkTCP FrameworkWeb FrameworkTranslationQuantitative TradingData Storing and ProcessingGUIBlogsVideos
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Installation instructions →What's inside
Blogs
- 2022-04-26，The future of AI depends on Modularity
- 2023-03-23，AI’s compute fragmentation: what matrix multiplication teaches us
- 2023-04-20，The world's fastest unified matrix multiplication
- 2023-05-02，A unified, extensible platform to superpower your AI
- 2023-06-08，Do LLMs eliminate the need for programming languages?
- 2023-06-16，SIMD 指令集与数据并行程序
Videos
- 2023-05-03，Modular Product Keynote in 121 seconds
- 2023-05-03，Product Launch 2023 Keynote
- 2023-08-26，Speeding up Python code with Mojo🔥: Mandelbrot example
- 2023-09-02，Modular Community Livestream - 6 popular questions and answers
6 popular questions and answers
- 2023-10-07，Introduction to Tensors in Mojo🔥
- 2023-10-10，Cross Platform Mojo App with Conda, PyTorch and Matplotlib
GPU Programming
Summary
- awesome-cuda-triton-hpcAwesome List
- BBuf/tvm_mlir_learnLearning Resources
- Brian-M-J/sicp_mojoLearning Resources
- bumbii/codeLearning Resources
- HaruTzuki/MojoLessonsLearning Resources
- helehex/mojo-testLearning Resources
Machine Learning
FFI Bindings
- Benny-Nottonson/glibc.mojo
- ihnorton/mojo-ffi
- pyMLIR
the Multi-Level Intermediate Representation. pyMLIR is a full Python interface to parse, process, and output
Image Processing
Showing a sample of 174 resources. View the full list on GitHub →